Demand system estimation in the absence of price data: an application of Stone-Lewbel price indices

Castellon, Cesar; Boonsaeng, Tullaya; Carpio, Carlos E.

doi:10.1080/00036846.2014.975332

Cited by 20 publications

(14 citation statements)

References 19 publications

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“…By taking the derivatives of (5) with respect to log prices and expenditure, we get the Hicksian demand semi-elasticities, which were converted into price elasticities following Castellón et al (2015) and expenditure elasticities following Zhen et al (2014).…”

Section: Estimating Food Price Elasticitiesmentioning

confidence: 99%

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Effectiveness of a carbon tax to promote a climate-friendly food consumption

Dogbe¹,

Gil

2018

Food Policy

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Section: Estimating Food Price Elasticitiesmentioning

confidence: 99%

“…Our current dietary habits are a major contributor to climate change because the "seed-to -table" food chain produces an immense amount of greenhouse gases (GHGs) (Castellón et al, 2015).…”

Section: Consumption Introductionmentioning

confidence: 99%

Effectiveness of a carbon tax to promote a climate-friendly food consumption

Dogbe¹,

Gil

2018

Food Policy

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“…The initial model was estimated using Iterative Seemingly Unrelated Regression (ISUR) estimator using all N equations. The estimation of all N equations was possible since the system of equations do not have a singular variance-covariance residual matrix [see ( 22 )]. The coefficients ρ and π i were tested for expenditure and price endogeneity, respectively.…”

Section: Estimation Proceduresmentioning

confidence: 99%

“…Expenditure elasticities, Hicksian and Marshallian price elasticities were derived from (8) following Castellón et al ( 22 ). The compensated Hicksian price elasticity of demand for good k with respect to the price of the good j was derived by…”

Section: Estimation Proceduresmentioning

confidence: 99%

Nutritional Implications of Trade-Offs Between Fresh and Processed Potato Products in the United Kingdom (UK)

Dogbe

Revoredo‐Giha

2021

Front. Nutr.

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The UK ranks eleven among world potato producing countries with annual per capita production of about 102 kg. Since 2007, the price of potatoes has increased by 44 per cent and UK households have shown a decreasing trend on their purchases of potatoes. At the same time, retailers and manufacturers have been introducing processed potato products, which also has affected the demand for fresh potatoes. This has shifted demand from fresh potatoes to processed potatoes suggesting that consumers substitute fresh potatoes for processed ones. However, the extent to which this affect individual weekly nutritional composition is unknown. The objective of this study is to estimate the nutritional trade-offs between fresh and processed potatoes consumed in the UK using home scanner panel dataset for Great Britain in 2018. Price and expenditure elasticities were estimated using the linearized version of the Exact Affine Stone Index (EASI) Demand System. Using estimated elasticities, we analyzed the implications of substituting fresh potatoes for processed potatoes on nutrient intake. The results, in terms of the degree of substitution between fresh potatoes and processed potato products, suggest that consumers consider new potatoes baby and baking potatoes as substitutes for mashed potatoes. Maris piper potatoes and new potatoes baby are substitutes for frozen chips and other potatoes whilst white old potatoes and other vegetables and salads are complements to frozen chips and other potatoes. Finally, price reductions in the processed potatoes will increase average weekly caloric intake as well as the intakes of saturated fat and sodium. The latter has implications for public health as they are the major causes of cardiovascular diseases and certain cancers.

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“…BLS regional CPIs for the subgroups were constructed by deflating the national monthly commodity subgroups' CPIs and using the corresponding regional (Northeast, Midwest, West, and South) CPIs for all expenditure items. These CPIs include all of the available price information, reflecting both temporal and regional price variation (Castellon, Boonsaeng, and Carpio ). Households' annual expenditure data from the CEX interview have different starting periods depending on the quarter in which the households enter into the panel.…”

Section: Datamentioning

confidence: 99%

Budget Allocation Patterns of U.S. Households across Income Levels in the 21st Century

Boonsaeng¹,

Carpio²

2019

Journal of Consumer Affairs

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This study examined the budget allocation patterns of U.S. households during the period 2000–2015. Four household groups—classified based on their income levels in relation to the federal poverty level—are used for the analyses. Data from the quarterly interview component of the BLS Consumer Expenditure Survey were used in order to calculate households' annual expenditures in eight commodity groups: food, utilities, apparel and apparel services, transportation, medical care, shelter and household operations, other nondurable expenditures and services, and durable goods. An exact affine stone index (EASI) demand system was used to estimate demand relationships (i.e., price, income elasticities, and marginal effects). Overall, we find that budget allocation, consumers' responses to changes in prices and income, and the effects of sociodemographic characteristics on spending can be markedly different between income groups. The use of a representative or average household for demand analyses can mask substantial differences in economic behaviors between these four income groups.

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Demand system estimation in the absence of price data: an application of Stone-Lewbel price indices

Cited by 20 publications

References 19 publications

Effectiveness of a carbon tax to promote a climate-friendly food consumption

Effectiveness of a carbon tax to promote a climate-friendly food consumption

Nutritional Implications of Trade-Offs Between Fresh and Processed Potato Products in the United Kingdom (UK)

Budget Allocation Patterns of U.S. Households across Income Levels in the 21st Century

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